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dsh-heat-level

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-heat-level

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-heat-level in the DeepSeek Harness terminal to install this plugin; the source repository is available at https://github.com/uckkk/dsh-heat-level.

About this plugin

The soul of home cooking often lies in heat control: a searing wok for crispness, a gentle simmer for sweetness. Yet recipes rarely spell out exactly how long or how hot. dsh-heat-level turns that fuzzy experience into a structured query: pass in your cooking parameters and receive a clear heat-level recommendation along with a home-style recipe suggestion.

Built entirely in Node.js with zero network dependencies, the plugin registers a single heat_level tool ready to call within any session once installed. It stays focused on one job and does it well, making it an easy fit for AI-assistant workflows, recipe toolchains, or any project that needs a reliable heat-control reference without the overhead of an external API.

Whether you are a developer adding a cooking-intuition module to a smart-kitchen assistant, or a home cook who wants scattered cooking knowledge distilled into a queryable tool, dsh-heat-level offers a practical starting point with minimal integration cost.

Use Cases

  • Query recommended heat levels for a specific dish within an AI session
  • Add offline heat-control reasoning to a smart kitchen assistant
  • Distill scattered cooking experience into a structured, queryable tool

Best For

  • Developers adding culinary knowledge to AI workflows
  • Home cooks who want to structure their recipe experience
  • Node.js engineers building offline-first toolchains